pacman::p_load(dplyr, ggplot2, lubridate, ggthemes, remotes,
neuralnet, Metrics, tidyverse, readxl, knitr,
glue, forcats, timetk, tidyquant, tibbletime,
recipes, rsample, yardstick)
#install_github("rstudio/tensorflow")
library(tensorflow)
#install_tensorflow(method = "conda", envname = "r-reticulate")
library(keras)
Attaching package: ‘keras’
The following object is masked from ‘package:yardstick’:
get_weights
mydata <- read_csv("UNVR.JK_long.csv",
col_types = cols(Date = col_date(format = "%m/%d/%Y")))
mydata <- mydata[1443:4642,]
mydata %>%
ggplot(aes(x = Date, y = Close)) +
geom_line(color = "mediumpurple2") +
geom_point(size = 0.2, color = "slateblue3") +
theme_hc() +
labs(
title = 'UNVR Price',
subtitle = 'Period Jun-2009 to Apr-2022') +
xlab("Date") + ylab("Close Price")
Untuk analisis selanjutnya, selain kolom ‘Close’ kolom lain diabaikan. Kemudian data dilakukan diferensiasi untuk lebih mendapatkan kestatsioneritasan.
data <- mydata[,c(1,5)] %>%
pull(Close)
diffed <- diff(data, differences = 1)
head(diffed)
[1] 0 10 -10 0 0 80
Setelah didiferensiasi, dibentuk vector dengan lag hasil diferensiasi. Tujuannya untuk menganalogikan adanya variabel input (X) dan variabel output (Y), karena pada LSTM mensyaratkan hal tersebut. Dalam hal ini (x-t) adalah input sedangkan (x) sebagai output.
lag_transform <- function(x, k = 1){
lagged = c(rep(NA, k), x[1:(length(x)-k)])
DF = as.data.frame(cbind(lagged, x))
colnames(DF) <- c( paste0('x-', k), 'x')
DF[is.na(DF)] <- 0
return(DF)
}
supervised <- lag_transform(diffed, 1)
head(supervised)
NA
Alokasi 80:20
N <- nrow(supervised)
n <- round(N * 0.8, digits = 0)
train <- supervised[1:n, ]
test <- supervised[(n+1):N, ]
scale_data <- function(train, test, feature_range = c(0, 1)) {
x = train
fr_min = feature_range[1]
fr_max = feature_range[2]
std_train = ((x - min(x) ) / (max(x) - min(x) ))
std_test = ((test - min(x) ) / (max(x) - min(x) ))
scaled_train = std_train *(fr_max -fr_min) + fr_min
scaled_test = std_test *(fr_max -fr_min) + fr_min
return( list(scaled_train = as.vector(scaled_train), scaled_test = as.vector(scaled_test) ,scaler= c(min =min(x), max = max(x))) )
}
Scaled <- scale_data(train, test, c(-1, 1))
y_train <- Scaled$scaled_train[, 2]
x_train <- Scaled$scaled_train[, 1]
y_test <- Scaled$scaled_test[, 2]
x_test <- Scaled$scaled_test[, 1]
Fungsi ini digunakan untuk mengembalikan nilai yang sebelumnya dinormalisasi
invert_scaling <- function(scaled, scaler, feature_range = c(0, 1)){
min = scaler[1]
max = scaler[2]
t = length(scaled)
mins = feature_range[1]
maxs = feature_range[2]
inverted_dfs = numeric(t)
for( i in 1:t){
X = (scaled[i]- mins)/(maxs - mins)
rawValues = X *(max - min) + min
inverted_dfs[i] <- rawValues
}
return(inverted_dfs)
}
Dalam LSTM diperlukan 3 dimensi array sebagain input shape.
dim(x_train) <- c(length(x_train), 1, 1)
X_shape2 <- dim(x_train)[2]
X_shape3 <- dim(x_train)[3]
batch_size <- 1
units <- 1
Pembentukan model LSTM
model <- keras_model_sequential()
2022-05-07 07:44:06.462791: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-05-07 07:44:06.465408: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Loaded Tensorflow version 2.8.0
2022-05-07 07:44:20.151737: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2022-05-07 07:44:20.153390: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-05-07 07:44:20.155201: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-HRK1NGB
2022-05-07 07:44:20.156367: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-HRK1NGB
model %>%
layer_lstm(units, batch_input_shape = c(batch_size, X_shape2, X_shape3),
stateful= TRUE) %>%
layer_dense(units = 1)
Mengevaluasi model dengan parameter MSE
model %>% compile(
loss = 'mean_squared_error',
optimizer = optimizer_adam(learning_rate = 0.02, decay = 1e-6 ))
summary(model)
Model: "sequential"
_____________________________________________________________________________
Layer (type) Output Shape Param #
=============================================================================
lstm (LSTM) (1, 1) 12
dense (Dense) (1, 1) 2
=============================================================================
Total params: 14
Trainable params: 14
Non-trainable params: 0
_____________________________________________________________________________
Epochs = 50
for(i in 1:Epochs ){
model %>% fit(x_train, y_train, epochs = 1,
batch_size = batch_size, verbose = 1, shuffle = FALSE)
model %>% reset_states()
}
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WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0043s). Check your callbacks.